Wootbot

Category: advanced_threat · Aliases: None known · Sample count (EMBER 2018): 2 · Enrichment: expert-seo · Updated: 2026-06-09
Category: Advanced_ThreatStatus: Automated SignaturePlatform: WINDOWS_PEStage: Execution, PersistenceActor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Opportunistic🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
Worm:Win32/Wootbot (also known as W32.Wootbot) is a classic, historically significant network worm and IRC botnet agent that was highly prevalent in the mid-2000s.

Table of Contents

Overview

Worm:Win32/Wootbot (also known as W32.Wootbot) is a classic, historically significant network worm and IRC botnet agent that was highly prevalent in the mid-2000s. It was designed to rapidly self-propagate across networks by exploiting known Windows vulnerabilities and weak network shares, subsequently connecting the infected machines to an attacker-controlled IRC (Internet Relay Chat) server to receive commands for DDoS attacks or further malware distribution.

Understanding Wootbot (Classic IRC Botnets)
To an end-user, a Wootbot infection might cause system slowdowns or network latency. For a security operations center, Wootbot represents the architecture of early, noisy botnets. Unlike modern, stealthy botnets using custom protocols or Tor, Wootbot relied on standard IRC channels (`T1071.001`), making its command-and-control traffic relatively easy to spot but incredibly disruptive due to its aggressive worm-like spreading.

Execution and Propagation Mechanics
Wootbot spreads aggressively. Once executed, it copies itself to the Windows System directory and establishes persistence via the `Run` registry keys (`T1547.001`). It then scans the local subnet and the broader internet for machines vulnerable to specific exploits (e.g., LSASS or DCOM vulnerabilities, prominent in Windows XP/2000) or open network shares (`T1210`, `T1105`). It uses a hardcoded list of weak passwords to attempt brute-force access to IPC$ and admin shares (`T1110.001`). Once successfully copied to a new machine, it connects to a predefined IRC server, joins a specific channel, and waits for commands from the botmaster, which often included launching UDP/TCP flood attacks (`T1498`).

Indicators of Compromise & Impact
The primary impact is the rapid spread of the infection across an enterprise network and participation in DDoS attacks. Network IoCs are highly distinct: excessive, aggressive port scanning (e.g., TCP 135, 139, 445) originating from infected hosts, and persistent outbound TCP connections to external IRC servers (typically on port 6667). Host-based IoCs include the presence of unexpectedly named executables in the System32 directory and corresponding Registry Run key entries.

MITRE ATT&CK Techniques

Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:

→ Explore the complete 226-Technique ATT&CK Threat Matrix

Tactical Mitigations

Based on the techniques used by this family, consider the following defensive strategies:

MITRE D3FEND™ Defensive Countermeasures

Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):

D3FEND IDCountermeasure NameTacticCountered ATT&CKDefensive Guidance
D3-WAFWeb Content Filtering & InspectionFilterT1071.001Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles.
D3-ALAccount Lockout PolicyHardenT1110.001Enforce progressive delay and lockout thresholds on failed authentication attempts to thwart brute-force password guessing.
D3-NPSNetwork Protocol Segmentation & PatchingFilterT1210Disable legacy protocols (e.g. SMBv1) and restrict SMB/RPC lateral movement across internal subnet boundaries.
D3-TRTraffic Rate LimitingIsolateT1498Deploy BGP Flowspec and edge scrubbing proxies to automatically throttle volumetric SYN and UDP reflection attacks.

Tiered Detection Rules (Cisco CAIRN Model)

Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:

Tier 1 Primitive Artifact Rule (Fast Triage)

Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.

rule MALWARE_WIN_WOOTBOT_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Wootbot"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "wootbot" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

Tier 2 Behavioral Context Rule (Process Chains & Sigma)

Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.

title: SystemHelpDesk Detection - Wootbot (Advanced Threat) Execution & Triage
id: 11982db5-78e4-58cb-a654-a489e46b7e70
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Wootbot malware family. Detects proxy execution, reflective DLL loading,
  and remote command injection associated with modular enterprise backdoors.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/wootbot
- https://malware-families-catalog.systemhelpdesk.com/defensive/backdoor-rat-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.advanced-threat
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1210
- attack.t1498
- attack.t1071_001
- attack.t1110_001
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \powershell.exe
    - \cmd.exe
    - \rundll32.exe
    - \regsvr32.exe
    CommandLine|contains:
    - DownloadString
    - IEX(
    - '/s /n /u /i:'
    - sc create
    - start-process
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: high

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_WOOTBOT_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Wootbot tradecraft"
        tier = "T3 - Attribution Fingerprint"
        confidence = "High (Confirmed Family Signature)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        // Core family identifier & heuristic payload signatures
        $attrib_str = "wootbot" ascii wide nocase
        $pe_magic = "MZ" ascii
        $net_marker = "http" ascii nocase
    condition:
        uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}
SOC & SIEM Rule Downloads: ⬇ Download YARA Rule (.yar) ⬇ Download Sigma Rule (YAML) ⬇ Download Sigma Rule (JSON) ⚙ Threat Profile API (JSON)

Containment & Response Steps

Home Users: If you suspect a malware infection on your personal device, disconnect from the internet immediately and run a full system scan with your antivirus software (see our TotalAV Antivirus & Security Support Guide). The steps below are intended for IT professionals responding to enterprise incidents.

Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.

  1. Immediately segment infected VLANs to halt the aggressive lateral spreading of the worm.
  2. Block outbound IRC traffic (TCP port 6667 and known alternative IRC ports) at the perimeter firewall to sever the C2 connection.
  3. Ensure all systems are fully patched against the specific vulnerabilities (e.g., MS04-011, MS03-026) the worm is actively exploiting.
  4. Disable unnecessary administrative network shares and enforce strong password policies to defeat the brute-force propagation.

What to Avoid

Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.

  1. Do not attempt to clean one machine at a time on an unsegmented network; the worm will continually re-infect cleaned machines.
  2. Avoid relying solely on signature-based AV for cleanup, as the botmaster may update the payload via the IRC channel.

References & External Analysis

Frequently Asked Questions

What is Wootbot and what threat category does it belong to?

Wootbot is classified as a Advanced Threat. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.

How does Wootbot establish persistence and evade defensive controls?

Wootbot typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.

What are the essential incident response steps for mitigating a Wootbot compromise?

Security teams responding to Wootbot should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.

What lateral movement and credential access tactics does Wootbot leverage in enterprise intrusions?

Wootbot frequently utilizes privileged account harvesting techniques such as LSASS memory dumping, Kerberoasting, and token impersonation to escalate privileges. Once administrative credentials are acquired, it pivots across the victim network utilizing living-off-the-land binaries (LOLBins) such as WMI, PowerShell remoting, and PsExec, or abuses remote desktop protocols (RDP) to reach critical internal repositories and domain controllers.

How does Wootbot maintain covert communications and evade perimeter network monitoring?

Wootbot often relies on multi-stage command and control (C2) architectures utilizing encrypted protocols over standard web ports (HTTPS/443 or DNS tunneling) to blend in with legitimate enterprise network traffic. Many variants incorporate proxy networks, domain fronting, or cloud services (such as Microsoft Graph API, Google Drive, or Telegram) to masquerade C2 channels, bypassing traditional signature-based egress filtering.

How do I remove the Wootbot Advanced_Threat from Windows?

Manual removal of Wootbot is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.

Is Wootbot a virus or a Advanced_Threat?

Wootbot is classified as a Advanced_Threat. Unlike traditional viruses that infect files, modern malware like Wootbot typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.

What are the main symptoms of a Wootbot infection?

Symptoms of Wootbot can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.

Protect Your Network Against Advanced_Threats

Want to prevent Wootbot and similar threats from compromising your organization? Read our comprehensive defensive guide: Think You've Been Hacked? What To Do First.

📣 Threat Intel Correction or Update?

Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.

Need help with an active incident? Published by the SystemHelpdesk team.

Machine-readable

Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/wootbot.json

Ecosystem & Interactive Environments

This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.